Evidence map›Paper›PMID 39171305›Full record

ArticleFrontiers in public health2024

Heterogeneity in public health service utilization and its relationship with social integration among older adult migrants in China: a latent class analysis.

Xiaolong Bu, Ting Wang, Qian Dong, Cuiping Liu

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Xiaolong BuSchool of Nursing, Shandong First Medical University, Tai'an, China.
Ting WangSchool of Nursing, Shandong First Medical University, Tai'an, China.
Qian DongSchool of Nursing, Shandong First Medical University, Tai'an, China.
Cuiping LiuSchool of Nursing, Shandong First Medical University, Tai'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The older adult migrant population in China is on the rise, which presents challenges for the national public health service system. However, the heterogeneity of public health service utilization and its relationship with social integration among the older adult migrant population remains unclear. This study aims to explore the heterogeneity the public health service utilization and how it relates to their social integration. Methods: A total of 6,178 older adult migrants from the China Migrants Dynamic Survey (CMDS) in 2017 were included in this study. Exploratory factor analysis was used to categorize social integration into four dimensions. Latent class analysis (LCA) was used to identify different sub-groups of public health service utilization. ANOVA and multivariate logistic regression were used to determine the characteristics of different sub-groups. Results: Three potential classes of public health service utilization were identified: low utilization of basic public health services class ( Conclusion: The utilization of public health services of the older adult migrants is affected by many aspects. Social integration deserves attention as a significant influencing factor in the utilization of public health services. The government should pay attention to the characteristics of the older adult migrants and formulate relevant policies in a targeted manner in order to improve the utilization of public health services of the older adult migrants.

Indexed as

Latent Class AnalysisSocial IntegrationTransients and MigrantsAgedChinaFemaleHumansMaleMiddle AgedPatient Acceptance of Health CareSurveys and Questionnairesexploratory factor analysislatent class analysis (LCA)older migrant populationsocial integrationutilization of basic public health services

Identifiers

PMID39171305
PMCPMC11335552

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.